Papers with MAYA

1 papers
Multi-granularity Textual Adversarial Attack with Behavior Cloning (2021.emnlp-main)

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Challenge: Existing adversarial attack models are vulnerable to adversarials crafted by human-imperceptible perturbations.
Approach: They propose a multi-granularity adversarial attack model that generates high-quality adversarials with fewer queries to victim models.
Outcome: The proposed model generates high-quality adversarial samples with fewer queries to victim models compared to baseline models . the proposed model also reduces query times for black-box models that only output labels without confidence scores .

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